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- Tasks: Join a dynamic team to develop alpha research for equity strategies.
- Company: Work with a leading global investment firm known for innovative equity research.
- Benefits: Enjoy a fast-paced environment with access to cutting-edge technology and diverse datasets.
- Why this job: Contribute to impactful systematic strategies in a collaborative and intellectually stimulating setting.
- Qualifications: Masters or PhD in a quantitative field; 3-5 years of equity research experience required.
- Other info: This is a full-time, permanent role based in London.
The predicted salary is between 43200 - 72000 £ per year.
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Quantitative Researcher – Equities, London
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Client:
Marlin Selection
Location:
London, United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Reference:
7a66b431cde8
Job Views:
8
Posted:
12.07.2025
Expiry Date:
26.08.2025
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Job Description:
Location: London
Industry: Systematic Equity Strategies
Job Type: Full-Time, Permanent
Our Client :
We are partnering with a leading global investment firm based in London, renowned for its data-driven, innovative approach to equity research. They are seeking an experienced Quantitative Researcher to join their dynamic team, focusing on systematic equity strategies. This is a fantastic opportunity for a talented individual to contribute to cutting-edge alpha research and work with a team of like-minded experts in the field.
Key Responsibilities:
As a Quantitative Researcher, you will play a vital role in the development of alpha research for equity strategies. Your responsibilities will include:
- Alpha Research: Collaborating closely with the Senior Portfolio Manager (SPM) to drive the research agenda, with a primary focus on idea generation, data gathering, research/analysis, model implementation, and backtesting of systematic equity strategies.
- Model Development: Combining financial insights with advanced statistical learning techniques to analyze diverse datasets, build predictive models, and apply them to the investment process.
- Collaboration: Working alongside the SPM and investment team in a highly transparent environment, ensuring alignment throughout the investment lifecycle.
Required Technical Skills:
- Programming: Proficiency in Python for quantitative research, model building, and analysis.
- Academic Background: A Masters or PhD in a quantitative discipline such as Computer Science, Applied Mathematics, Statistics, or a related field from a top-ranked university.
- Research Experience: Solid background in alpha research and systematic strategy development.
Desired Experience:
- Experience in Cash Equities: 3-5 years of hands-on experience in equity research, specifically in alpha research for cash equities strategies.
- Data Expertise: Demonstrated ability to analyze fundamental, event-related, and alternative datasets, integrating this information into actionable insights for strategy development.
Highly Valued Skills & Experience:
- Strong economic intuition and the ability to apply critical thinking to complex financial problems.
- Previous involvement in statistical arbitrage strategies will be considered highly advantageous.
Why Join This Team?
This role provides a unique opportunity to work in a fast-paced, intellectually stimulating environment with access to diverse datasets and cutting-edge technology. You will be part of a collaborative team focused on deploying systematic strategies that impact the global equity markets.
If you are passionate about quantitative research, systematic trading, and want to work with a firm that thrives on collaboration and innovation, we encourage you to apply!
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Quantitative Researcher – Equities employer: Marlin Selection
Contact Detail:
Marlin Selection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher – Equities
✨Tip Number 1
Familiarise yourself with the latest trends in systematic equity strategies. Read up on recent research papers and case studies to understand what methodologies are currently being used in the industry. This knowledge will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the quantitative research field, especially those who work in equities. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about their experiences. This can provide valuable insights and may even lead to referrals.
✨Tip Number 3
Brush up on your Python skills, focusing on libraries commonly used in quantitative research such as Pandas, NumPy, and SciPy. Consider working on personal projects or contributing to open-source projects to demonstrate your programming capabilities and problem-solving skills.
✨Tip Number 4
Prepare to discuss your previous experience in alpha research and model development. Be ready to share specific examples of how you've applied statistical techniques to real-world financial problems, as this will showcase your expertise and fit for the role.
We think you need these skills to ace Quantitative Researcher – Equities
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative research and equity strategies. Emphasise your programming skills, particularly in Python, and any academic qualifications that align with the job requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for quantitative research and systematic trading. Mention specific projects or experiences that demonstrate your ability to generate alpha research and collaborate effectively with teams.
Highlight Relevant Experience: In your application, focus on your 3-5 years of hands-on experience in equity research. Provide examples of how you've used statistical learning techniques and data analysis to develop predictive models and strategies.
Showcase Your Problem-Solving Skills: Demonstrate your strong economic intuition and critical thinking abilities in your application. Discuss any previous involvement in statistical arbitrage strategies and how you approached complex financial problems.
How to prepare for a job interview at Marlin Selection
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and any relevant programming experience. Be prepared to discuss specific projects where you've applied these skills, especially in quantitative research or model building.
✨Demonstrate Your Research Experience
Discuss your background in alpha research and systematic strategy development. Bring examples of how you've gathered and analysed data, and the impact your research had on previous projects or roles.
✨Prepare for Technical Questions
Expect questions that test your understanding of statistical learning techniques and financial concepts. Brush up on your knowledge of predictive modelling and be ready to explain complex ideas clearly.
✨Emphasise Collaboration Skills
Since the role involves working closely with a Senior Portfolio Manager and other team members, be sure to convey your ability to collaborate effectively. Share examples of past teamwork experiences and how you contributed to achieving common goals.
